Thermo Fisher Scientific (TMO) Non-Current Debt (2009 - 2026)
Thermo Fisher Scientific's Non-Current Debt was -$300,000 in Q3 2009.
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Analysis
Thermo Fisher Scientific (TMO) Non-Current Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | - |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 599.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 39.18 Bn |
| Mar 28, 2026 | 40.07 Bn |
| Dec 31, 2025 | 35.85 Bn |
| Sep 27, 2025 | 31.86 Bn |
| Jun 28, 2025 | 33.02 Bn |
| Mar 29, 2025 | 31.37 Bn |
| Dec 31, 2024 | 29.06 Bn |
| Sep 28, 2024 | 31.20 Bn |
| Jun 29, 2024 | 30.28 Bn |
| Mar 30, 2024 | 31.16 Bn |
| Dec 31, 2023 | 31.31 Bn |
| Sep 30, 2023 | 30.49 Bn |
| Jul 1, 2023 | 29.19 Bn |
| Apr 1, 2023 | 29.14 Bn |
| Dec 31, 2022 | 28.91 Bn |
| Oct 1, 2022 | 28.15 Bn |
| Jul 2, 2022 | 29.25 Bn |
| Apr 2, 2022 | 31.39 Bn |
| Dec 31, 2021 | 32.33 Bn |
| Oct 2, 2021 | 21.69 Bn |
API Access
Thermo Fisher Scientific Non-Current Debt API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "TMO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();